ONNX-PackNet-SfM

Python scripts for performing monocular depth estimation using the PackNet-SfM model in ONNX

Original image:https://commons.wikimedia.org/wiki/File:HydeStreetSF.JPG

Requirements

• Check the requirements.txt file. Additionally, pafy and youtube-dl are required for youtube video inference.

Installation

pip install -r requirements.txt
pip install pafy youtube_dl>=2021.12.17

ONNX model

The original models were converted to different formats (including .onnx) by PINTO0309, download the models from his repository and save them into the models folder.

Original Pytorch model

The Pytorch pretrained models were taken from the original repository.

Examples

• Image inference:

python image_depth_estimation.py 

• Video inference:

python video_depth_estimation.py

• Webcam inference:

python webcam_depth_estimation.py

Inference video Example

Original video: https://www.youtube.com/watch?v=z_9GiRz12-4

References:

• PackNet-SfM model: https://github.com/TRI-ML/packnet-sfm
• PINTO0309's model zoo: https://github.com/PINTO0309/PINTO_model_zoo
• PINTO0309's model conversion tool: https://github.com/PINTO0309/openvino2tensorflow
• Original papers: https://arxiv.org/abs/1905.02693 and https://arxiv.org/abs/2008.06630